Derivation of learning vector quantization algorithms

A formal derivation of three learning rules for the adaptation of the synaptic weight vectors of neurons representing the prototype vectors of the class distribution in a classifier is presented. A decision surface function and a set of adaptation algorithms for adjusting this surface which are deri...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Lo, Z.-P., Yu, Y., Bavarian, B.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Algorithm design and analysis Classification algorithms Equations Iris Neural networks Neurons Pattern classification Prototypes Testing Vector quantization
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!